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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to practical automation
- Defining no-code automation and identifying optimal use cases
- Overview of the Make platform and AI agent capabilities
Make Fundamentals
- Understanding scenarios, modules, and trigger mechanisms
- Mapping data flow between different applications
- Utilizing filters and routers for logic control
Integrating Apps and Data
- Implementing webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Managing data through dedicated stores
Creating Your First AI Agent
- Incorporating an LLM into a Make scenario
- Crafting prompts to ensure reliable agent output
- Parsing and utilizing agent responses effectively
Agents Interfacing with Data
- Retrieving and processing relevant business data
- Chaining multiple steps and decision points
- Implementing human-in-the-loop validation checkpoints
End-to-End Automation
- Automating a genuine business process
- Handling errors and configuring retry mechanisms
- Monitoring and maintaining live scenarios
Conclusion and Future Steps
- Key Deliverable: A fully functional automated process featuring a connected AI agent.
Requirements
- No prior programming experience is necessary.
- Confidence in using web-based applications and spreadsheets.
- A fundamental grasp of your own business workflows.
Target Audience
- Professionals in business and operations roles.
- Team leaders and process owners.
- Non-technical individuals seeking to automate workflows with AI.
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
